Statistical Inference from Boyles' Capability Index

Linda Lee Ho 1
  • 1 Departamento de Engenharia de Produção, EP, Universidade de São Paulo, Caixa Postal 61548, São Paulo, SP 05424-970, Brazil.


This paper presents statistical inference procedures from Spn, a process capability index for asymmetrical processes proposed by Boyles. From the frequentist perspective, a conservative lower confidence bound is given. From the Bayesian perspective, the SIR algorithm is used to obtain the posterior distribution of Spn. Both procedures are illustrated by simulations and examples.

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